你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Causal Graphical Models and Their Applications
Type
Physical Book
Publisher
Author
Language
English
Format
Hardcover
ISBN13
9783725879298

Causal Graphical Models and Their Applications

Sucar Luis Enrique,Danks David (Author) · Mdpi Ag · Hardcover

Causal Graphical Models and Their Applications - Sucar Luis Enrique,Danks David

New Book Imported to Taiwan
Delivery: 30 Sep - 08 Oct Shipping: 6 to 7 business days.
NT$ 3,097
NT$ 3,097

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Causal Graphical Models and Their Applications"

The study of causality examines the relations and regularities found in a given environment that are stronger than merely probabilistic relations, in the sense that a causal relation allows for evaluating a change in the consequence given a change in the cause. Causation is crucial not only for predictive accuracy but also for control, explanation, and intervention. Causality is central to much of the scientific enterprise-and even everyday life-and there has been increasing interest in recent decades in causal modeling, inference, and reasoning. Causal models enable us to perform other types of reasoning that are not possible with associative models: (i) interventions, where we want to find the effects of an external agent forcing a variable to a specific value (in contrast with merely observing that variable's value); and (ii) counterfactuals, where we want to reason about what would have happened if certain information had been different from what actually happened. Causality usually cannot be directly observed, and so a long-standing goal of causality researchers has been causal discovery: inferring the underlying causal model from observational data. Multiple causal discovery methods have been developed and successfully applied in different fields, such as biology, medicine, and economics, among others. This Special Issue presents recent advances in causal reasoning and causal discovery based on causal graphical models, including novel applications in different domains. It includes contributions from theory to applications in the following aspects: theory, causal reasoning, causal discovery, and applications.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews